End-to-End Agentic AI Project 🕓

This repository contains a complete AI project showcasing three key components:

1. A basic LLM-powered chatbot
2. A tool-augmented agent using LangGraph
3. A fully automated Agentic AI pipeline for real-time AI news tracking and summarization

🔧 Tech Stack

• LangGraph: Manages agent workflows with state and transitions
• LangChain: Integrates tools and LLMs
• Tavily Search: Real-time web search
• OpenAI / Groq: LLMs for reasoning and summarization
• Streamlit / Gradio (Optional): User interface for testing agents

🧠 Project Modules

1. Basic Chatbot

A simple conversational agent powered by an LLM.

Features

• Maintains basic chat history
• Stateless or memory-enabled version
• Can be used for testing prompts or LLMs

2. Tool-Augmented Agent

An enhanced agent that uses external tools to answer more complex questions.

Tools Used

• Search (Tavily)
• Calculator or custom tools (optional)

Features

• Dynamic tool calling via LangGraph nodes
• ReAct-style decision-making

3. End-to-End Agentic AI Pipeline

A fully autonomous system for weekly and monthly AI news collection and summarization.

Workflow

• Agent searches for relevant AI articles
• Filters based on source and date
• Summarizes using an LLM
• Outputs organized summaries (daily, weekly, monthly)

Use Cases

• News monitoring
• AI research trend tracking
• Agentic automation templates

📁 Folder Structure

├── basic_chatbot/             # Basic LLM chatbot logic
├── tool_agent/                # LangGraph agent with tools
├── ai_news_pipeline/          # Full end-to-end news summary pipeline
├── utils/                     # Shared utility functions
├── .env                       # API keys
├── requirements.txt           # Python dependencies
└── README.md